Celebrity Arrival

Image-to-Video Cinematic

3 models were given the same image and animation prompt, and the community voted blind on which outputs looked best. How it works

This is a strong stress test for video models because it combines identity consistency, chaotic crowd motion, handheld camera behavior, realistic lighting, and multi-step scene progression in one continuous shot. Models often struggle when a recognizable subject has to stay consistent while partially obscured, moving through a dense environment, interacting with fans, and entering a vehicle.

Blind Vote This Challenge

#1 — Kling V3 Omni Pro

Animation prompt

“Ultra-realistic celebrity arrival scene in New York City, filmed as one continuous handheld shot from inside a dense crowd behind barricades. Documentary realism, natural micro-shake, no cuts, no artificial camera moves. Use the subject from the reference image as the main character. Keep face identity highly consistent across all frames. The outfit must match the reference image exactly. The subject should appear calm and controlled, with a subtle confident smile. Nighttime outside a fancy hotel. Lighting comes from street lights, hotel entrance lights, media flashes, phone screens, and reflections on polished cars and glass. Soft realistic shadows and slight atmospheric haze. Natural environment audio only: loud crowd cheering, overlapping voices, shouting fans, camera shutter clicks, phones recording, distant city noise, footsteps, fabric movement, and security activity. Scene flow: The camera begins inside the crowd, partially blocked by heads, raised phones, waving hands, and phone screens. The crowd is chaotic and excited. The camera lifts slightly above shoulder level. Focus shifts naturally between the crowd and the hotel entrance. The subject exits the hotel in the distance as camera flashes go off. Security pushes the crowd back, causing natural camera shake. Through gaps in the crowd, the subject becomes visible, first soft and partially obscured, then clearer as he walks forward with a small escort team. The subject walks up to a fan and signs a printed photo of himself from the reference image. The camera pushes in naturally, not digitally. The subject is now clearly visible near center frame. He walks confidently, raises one hand, and gives a calm wave with a slight smile while the camera struggles to keep him framed. A convoy of three large premium SUVs appears by the curb. Security opens the back door of the middle black Suburban. The subject enters quickly, rolls the window down, and waves to the crowd as the vehicles begin moving away. The crowd jumps, cheers, and records the moment on their phones.”

Voters were asked to judge by Crowd realism Camera motion Character identity

Challenge Rankings

3 models

#	Model	Price	¢/img	Elo
1	Kling V3 Omni Pro Kuaishou	$$$$	11.2¢	1132
2	Wan 2.6 Alibaba	$$	3¢	1042
3	Grok Imagine Video xAI	$$$	5¢	991

Kling V3 Omni Pro commands the leaderboard with an 1132 Elo and a 60% win rate, effectively handling the complex identity consistency and multi-stage motion requirements of the challenge. Despite the high performance, it carries a significant price premium, costing nearly four times more per generation than Alibaba's Wan 2.6 (1042 Elo).